Top Hybrid Data Engineering Jobs in Dallas-Fort Worth, TX

Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.

Design, develop, and maintain Python data pipelines and CI/CD deployments to build business data objects. Implement source-to-target mapping as pipeline code, write unit and integration tests, build engineering automations, and resolve complex application issues. Collaborate cross-functionally, apply GenAI tools to improve developer productivity, and work with AWS services and Snowflake to support data-driven applications.

Lead and mentor a data engineering team to design, build, test, and support cloud-based data solutions. Develop distributed, real-time and batch data pipelines using Java/Scala/Python, NoSQL and RDBMS, and cloud data warehousing (Redshift/Snowflake). Collaborate with product managers and Agile teams to deliver performant, production-ready systems.

Lead Data Engineer designs, develops, tests, implements, and supports cloud-based data solutions. Collaborates with agile teams, mentors engineers, builds streaming and batch pipelines using big-data and cloud technologies, and ensures performant, well-tested code.

Manage the Data Lake engineering team at Apex Fintech Solutions, driving technical initiatives, collaborating with stakeholders, and ensuring scalable data solutions. Responsibilities include team leadership, Agile facilitation, technical strategy, risk management, and establishing best practices in data engineering.

The Data Engineer Senior role involves developing data solutions, leading analysis efforts, and designing data service infrastructures within financial services using various technologies.

The Sr Oracle Application Developer is responsible for designing and developing technical solutions using Oracle technologies, leading teams, and ensuring project deliverables. This role requires hands-on technical expertise in Oracle applications and systems analysis, guiding other developers, and liaising with external vendors.

Lead data strategy and delivery for large-scale client transformations. Design modern data architectures, oversee analytics and ML initiatives, support sales as SME, grow client relationships, manage teams and resource strategies, and foster a collaborative culture focused on quality and business outcomes.

The Global Indirect Tax Automation Manager will manage third-party tax systems and custom billing system implementations, focusing on requirements gathering, design, build, and testing.

The Analytics Engineer builds and maintains data models for analytics, ensuring data quality and enabling self-service insights for analysts across the organization.

The Data Engineer will develop data pipelines, ensure data reliability, and support process automation while collaborating within Agile teams.